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Efficient Computation of Restricted Voronoi Diagrams Using Point-in-Cell Tests.

Created on 13 Oct 2026

Authors

Yanyang Xiao, Juan Cao, Zhonggui Chen

Published in

IEEE transactions on visualization and computer graphics. Volume PP. Oct 12, 2026. Epub Oct 12, 2026.

Abstract

We present a novel and efficient method for computing restricted Voronoi diagrams-that is, Voronoi diagrams constrained by a given domain. The intersection of the domain with a Voronoi cell (domain-cell intersection) is obtained by successively clipping the domain against the cell boundaries. Unlike existing approaches, we introduce an edge-based search scheme to identify the clipping planes (bisectors). A point-in-cell test is first employed to determine whether a spatial point lies inside a target Voronoi cell. Subsequently, for each edge of the intermediate domain-cell intersection, a clipping operation is performed only when its two endpoints lie inside and outside the corresponding Voronoi cell, respectively, and the required bisector can be found via a few point-in-cell tests. Consequently, our method performs exclusively the clippings that contribute to the final result, offering a substantial advantage over state-of-the-art approaches. Furthermore, since each domain-cell intersection can be computed independently, we extend our method to GPUs for parallel Voronoi diagram computation. Experimental results demonstrate that our method consistently outperforms state-of-the-art approaches, irrespective of the site distribution.

PMID:
42862604
Bibliographic data and abstract were imported from PubMed on 13 Oct 2026.

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